Log in

Relevant bibliographies by topics / Statistical Language Model

Contents

Journal articles

Academic literature on the topic 'Statistical Language Model'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 June 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Statistical Language Model.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Statistical Language Model"

1

Bellegarda, Jerome R. "Statistical language model adaptation: review and perspectives." Speech Communication 42, no. 1 (2004): 93–108. http://dx.doi.org/10.1016/j.specom.2003.08.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Shu, Peng, and Sun Cuiqin. "A Statistical English Syntax Analysis Model Based on Linguistic Evaluation Information." Security and Communication Networks 2022 (July 30, 2022): 1–7. http://dx.doi.org/10.1155/2022/3766417.

Full text

Abstract:

Language evaluation research currently focuses on the analysis of scholars from various native language backgrounds, whereas the local grammatical characteristics of other groups, particularly English language learners, are discussed less frequently. Local grammar offers a new perspective for analyzing the meaning characteristics of evaluation languages from the point of view of the people who employ them. In order to provide context for this paper, past research on local syntax is reviewed. The language model generates text that can be analyzed to determine the model’s aggressiveness when perturbed. To evaluate the method’s precision and efficacy, we compared the aggressiveness of pretrained models under various conditions using an English database. The results demonstrate that the method is capable of automatically and effectively evaluating the aggressiveness of language models. We then examine the scales of model parameters and the relationships between words in the training corpus.

APA, Harvard, Vancouver, ISO, and other styles

3

Sennrich, Rico. "Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation." Transactions of the Association for Computational Linguistics 3 (December 2015): 169–82. http://dx.doi.org/10.1162/tacl_a_00131.

Full text

Abstract:

The role of language models in SMT is to promote fluent translation output, but traditional n-gram language models are unable to capture fluency phenomena between distant words, such as some morphological agreement phenomena, subcategorisation, and syntactic collocations with string-level gaps. Syntactic language models have the potential to fill this modelling gap. We propose a language model for dependency structures that is relational rather than configurational and thus particularly suited for languages with a (relatively) free word order. It is trainable with Neural Networks, and not only improves over standard n-gram language models, but also outperforms related syntactic language models. We empirically demonstrate its effectiveness in terms of perplexity and as a feature function in string-to-tree SMT from English to German and Russian. We also show that using a syntactic evaluation metric to tune the log-linear parameters of an SMT system further increases translation quality when coupled with a syntactic language model.

APA, Harvard, Vancouver, ISO, and other styles

4

Bahl, L. R., P. F. Brown, P. V. de Souza, and R. L. Mercer. "A tree-based statistical language model for natural language speech recognition." IEEE Transactions on Acoustics, Speech, and Signal Processing 37, no. 7 (1989): 1001–8. http://dx.doi.org/10.1109/29.32278.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Coloma, Germán. "Towards a Synergetic Statistical Model of Language Phonology." Journal of Quantitative Linguistics 21, no. 2 (2014): 100–122. http://dx.doi.org/10.1080/09296174.2014.882184.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Bril, Isabelle, Achraf Lassoued, and Michel de Rougemont. "A Statistical Model for Morphology Inspired by the Amis Language." International journal of Web & Semantic Technology 13, no. 02 (2022): 1–17. http://dx.doi.org/10.5121/ijwest.2022.13201.

Full text

Abstract:

We introduce a statistical model for analysing the morphology of natural languages based on their affixes. The model was inspired by the analysis of Amis, an Austronesian language with a rich morphology. As words contain a root and potential affixes, we associate three vectors with each word: one for the root, one for the prefixes, and one for the suffixes. The morphology captures semantic notions and we show how to approximately predict some of them, for example the type of simple sentences using prefixes and suffixes only. We then define a Sentence vector s associated with each sentence, built from the prefixes and suffixes of the sentence and show how to approximately predict a derivation tree in a grammar.

APA, Harvard, Vancouver, ISO, and other styles

7

XIONG, DEYI, and MIN ZHANG. "Backward and trigger-based language models for statistical machine translation." Natural Language Engineering 21, no. 2 (2013): 201–26. http://dx.doi.org/10.1017/s1351324913000168.

Full text

Abstract:

AbstractThe language model is one of the most important knowledge sources for statistical machine translation. In this article, we present two extensions to standard n-gram language models in statistical machine translation: a backward language model that augments the conventional forward language model, and a mutual information trigger model which captures long-distance dependencies that go beyond the scope of standard n-gram language models. We introduce algorithms to integrate the two proposed models into two kinds of state-of-the-art phrase-based decoders. Our experimental results on Chinese/Spanish/Vietnamese-to-English show that both models are able to significantly improve translation quality in terms of BLEU and METEOR over a competitive baseline.

APA, Harvard, Vancouver, ISO, and other styles

8

Kipyatkova, Irina Sergeevna, and Alexey Anatolyevich Karpov. "Development and Research of a Statistical Russian Language Model." SPIIRAS Proceedings 1, no. 12 (2014): 35. http://dx.doi.org/10.15622/sp.12.3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Mnih, Andriy, Zhang Yuecheng, and Geoffrey Hinton. "Improving a statistical language model through non-linear prediction." Neurocomputing 72, no. 7-9 (2009): 1414–18. http://dx.doi.org/10.1016/j.neucom.2008.12.025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

O’Boyle, P., M. Owens, and F. J. Smith. "A study of a statistical model of natural language." Irish Journal of Psychology 14, no. 3 (1993): 382–96. http://dx.doi.org/10.1080/03033910.1993.10557945.

Full text

APA, Harvard, Vancouver, ISO, and other styles

More sources

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!